Integrative analysis of epigenetic subtypes in acute myeloid Leukemia: A multi-center study combining machine learning for prognostic and therapeutic insights

This integrated classification system combining epigenetic features and stem cell signatures provides new insights into AML heterogeneity and therapeutic targeting. The complementary nature of epigenetic and stem cell-related prognostic factors suggests potential for improved risk stratification in clinical practice. Future prospective validation studies are warranted to confirm these findings.

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Publication Details

Journal
PLoS ONE
Published
2025-05-28
DOI
https://doi.org/10.1371/journal.pone.0324380
Citations
3
Primary Topic
Acute Myeloid Leukemia Research
Type
article
Field-Weighted Citation Impact
5.31
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article

Integrative analysis of epigenetic subtypes in acute myeloid Leukemia: A multi-center study combining machine learning for prognostic and therapeutic insights

Jincan Li, S. Wang
3 citations
PLoS ONE
Acute Myeloid Leukemia Research
5.31
article

Integrative analysis of epigenetic subtypes in acute myeloid Leukemia: A multi-center study combining machine learning for prognostic and therapeutic insights

Jincan Li, S. Wang
article en
3 citations

Abstract

This integrated classification system combining epigenetic features and stem cell signatures provides new insights into AML heterogeneity and therapeutic targeting. The complementary nature of epigenetic and stem cell-related prognostic factors suggests potential for improved risk stratification in clinical practice. Future prospective validation studies are warranted to confirm these findings.

PLoS ONEVol. 20(5)
Shanghai Jiao Tong University (CN), Ruijin Hospital (CN), Shanghai Institute of Hematology (CN)
Life in Land
Openalex Percentile: Top 5%
Acute Myeloid Leukemia Research
5.31
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Integrative analysis of epigenetic subtypes in acute myeloid Leukemia: A multi-center study combining machine learning for prognostic and therapeutic insights — Jincan Li, S. Wang · PLoS ONE (2025) | TGRS Research Map | TGRS